130,729 research outputs found

    Antartica : its keyrole in global change

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    Drewry D. J. Antartica : its keyrole in global change. In: Bulletin de la Classe des sciences, tome 6, n°1-6, 1995. pp. 93-102

    Drewry (D.). — The organisation and structure of the deep-sea fertiliser trade. 1984

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    Lerat Serge. Drewry (D.). — The organisation and structure of the deep-sea fertiliser trade. 1984. In: Cahiers d'outre-mer. N° 156 - 39e année, Octobre-décembre 1986. p. 455

    Drewry (D.). — The organisation and structure of the deep-sea fertiliser trade. 1984

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    Lerat Serge. Drewry (D.). — The organisation and structure of the deep-sea fertiliser trade. 1984. In: Cahiers d'outre-mer. N° 156 - 39e année, Octobre-décembre 1986. p. 455

    Review: Horne A, Drewry G & Oliver D (eds.) Parliament and the Law

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    Parliament and the Law, edited by Alexander Horne, Gavin Drewry and Dawn Oliver. Oxford: Hart Publishing, 2013, xxxiv + 361 + (index) 8pp (£55.00 hardback). ISBN: 9781849462952

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Scaffold-Free Nerve Conduits Engineered using Dental Pulp Stem Cells

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    Current facial nerve treatments result in poor clinical outcomes due to slow and inefficient axon regeneration and aberrant reinnervation. Bioactive scaffold-free nerve conduits engineered using neurotrophic dental pulp stem/progenitor cells (DPSCs) and their aligned extracellular matrix (ECM) offer a promising alternative that addresses these clinical challenges. DPSCs intrinsically express high levels of neurotrophic factors, growth factors that induce axon regeneration, and an aligned ECM supplies guidance cues to direct extending axons. To form such conduits, human DPSCs were cultured on a substrate with linear microgrooves, stimulating the cells to align and deposit a linearly oriented ECM. The subsequent aligned DPSC sheets contained levels of neurotrophic factors previously established sufficient to induce axon regeneration and stimulated oriented neurite outgrowth when directly co-cultured with neuronal cells. Moreover, when DPSCs in aligned cell sheets were differentiated into glial Schwann cells, chemical induction cues from the differentiation media and mechanotransductive cues from the oriented ECM synergistically enhanced differentiation. The resulting DPSC-derived glial cells resembled repair Schwann cells, secreting higher levels of neurotrophic factors and remodeling their ECM to be more conducive to nerve regeneration, and promoted neuritogenesis similar to the undifferentiated DPSC sheets. Furthermore, scaffold-free nerve conduits were engineered by rolling aligned DPSC sheets into robust cylindrical tissues that maintained their organized ECM and NTF expression. These aligned conduits were used to bridge critical sized segmental nerve defects in the buccal branch of rat facial nerves. After 12 weeks, treatment with the DPSC conduits induced regeneration of myelinated axons and functional recovery similar or better than treatment with the clinical standard of care. Therefore, scaffold-free DPSC nerve conduits are capable of promoting axon regeneration, through a continuous supply of neurotrophic factors, and directing axon extension, through an endogenous aligned ECM, offering a promising therapy for facial nerve repair

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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